BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

278 related articles for article (PubMed ID: 36276110)

  • 1. Establishment of predictive nomogram and web-based survival risk calculator for malignant pleural mesothelioma: A SEER database analysis.
    Chen S; Yu W; Shao S; Xiao J; Bai H; Pu Y; Li M
    Front Oncol; 2022; 12():1027149. PubMed ID: 36276110
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development and validation of nomogram models to predict radiotherapy or chemotherapy benefit in stage III/IV gastric adenocarcinoma with surgery.
    Ren X; Huang T; Tang X; Ma Q; Zheng Y; Hu Z; Wang Y; Zhou Y
    Front Oncol; 2023; 13():1223857. PubMed ID: 37655111
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Nomograms-based prediction of overall and cancer-specific survivals for patients diagnosed with major salivary gland carcinoma.
    Guo Z; Wang Z; Liu Y; Han J; Liu J; Zhang C
    Ann Transl Med; 2021 Aug; 9(15):1230. PubMed ID: 34532367
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prognostic nomogram for primary splenic lymphoma: a SEER database-based study.
    Chen F; Long H; Ding J; Ren J; Qu B; Cao P; Wang Z; Wu Z; Ma Q; Ma Z
    Am J Cancer Res; 2023; 13(12):5825-5845. PubMed ID: 38187057
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prognostic nomogram to predict cancer-specific survival with small-cell carcinoma of the prostate: a multi-institutional study.
    Di Y; Song J; Song Z; Wang Y; Meng L
    Front Oncol; 2024; 14():1349888. PubMed ID: 38800400
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prognostic Factors and a Nomogram Predicting Overall Survival and Cancer-Specific Survival for Patients with Collecting Duct Renal Cell Carcinoma.
    Xiao R; Liu C; He W; Ma L
    Biomed Res Int; 2021; 2021():6736008. PubMed ID: 34805402
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and validation of a nomogram to predict the prognosis of patients with gastric cardia cancer.
    Shi X; Xu L; Ma B; Wang S
    Sci Rep; 2020 Aug; 10(1):14143. PubMed ID: 32839498
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Two simple-to-use web-based nomograms to predict overall survival and cancer-specific survival in patients with extremity fibrosarcoma.
    Li Y; Yang J; Zhao L; Chen B; An Y
    Front Oncol; 2022; 12():942542. PubMed ID: 36861108
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and validation of prediction models for the prognosis of colon cancer with lung metastases: a population-based cohort study.
    Ma Z; Yang S; Yang Y; Luo J; Zhou Y; Yang H
    Front Endocrinol (Lausanne); 2023; 14():1073360. PubMed ID: 37583430
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A novel prognostic model predicting the long-term cancer-specific survival for patients with hypopharyngeal squamous cell carcinoma.
    Tang X; Pang T; Yan WF; Qian WL; Gong YL; Yang ZG
    BMC Cancer; 2020 Nov; 20(1):1095. PubMed ID: 33176731
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Effect of pleural invasion on survival of patients with small cell lung cancer: Propensity score analysis and nomogram establishment based on the SEER database.
    Yang J; Yin H; Liu M; Zou G; Yu B
    Front Surg; 2023; 10():1108732. PubMed ID: 36911624
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Web-Based Prediction Model for Cancer-Specific Survival of Elderly Patients With Early Hepatocellular Carcinoma: A Study Based on SEER Database.
    He T; Chen T; Liu X; Zhang B; Yue S; Cao J; Zhang G
    Front Public Health; 2021; 9():789026. PubMed ID: 35096742
    [No Abstract]   [Full Text] [Related]  

  • 13. Development and Validation of Prognostic Nomogram for Young Patients with Kidney Cancer.
    Tian S; Sun S; Mao W; Qian S; Zhang L; Zhang G; Xu B; Chen M
    Int J Gen Med; 2021; 14():5091-5103. PubMed ID: 34511991
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and Validation of a Nomogram-Based Prognostic Evaluation Model for Sarcomatoid Hepatocellular Carcinoma.
    Ge D; Luo Z; Mao R; Zhao H; Lv X; Zhao J; Zhou J; Huang Z; Zhang Y; Li Z; Bi X; Cai J
    Adv Ther; 2020 Jul; 37(7):3185-3205. PubMed ID: 32436026
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Clinical characteristics and prognosis of patients with primary squamous cell carcinoma of the retromolar trigone: A SEER-based analysis.
    Yao Q; Xiong J; Zhou L; Zhao Z
    J Stomatol Oral Maxillofac Surg; 2024 Apr; 125(2):101675. PubMed ID: 37923133
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and validation of a nomogram to predict cancer-specific survival with unresected cholangiocarcinoma undergoing external radiotherapy.
    Song J; Di Y; Kang X; Ren G; Wang Y
    Front Public Health; 2023; 11():1012069. PubMed ID: 36817916
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and validation of nomograms for predicting survival of elderly patients with stage I small-cell lung cancer.
    Yang Y; Sun S; Wang Y; Xiong F; Xiao Y; Huang J
    Bosn J Basic Med Sci; 2021 Oct; 21(5):632-641. PubMed ID: 33577444
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Nomogram prediction for the overall survival and cancer-specific survival of patients diagnosed with Merkel cell carcinoma.
    Yin X; She H; Martin Kasyanju Carrero L; Ma W; Zhou B
    Ann Transl Med; 2021 Feb; 9(4):286. PubMed ID: 33708913
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A web-based prognostic nomogram for the cancer specific survival of elderly patients with T1-T3N0M0 renal pelvic transitional cell carcinoma based on the surveillance, epidemiology, and end results database.
    Wang J; Tang J; Liu X; He D
    BMC Urol; 2022 May; 22(1):78. PubMed ID: 35610606
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and validation of a novel nomogram model for predicting the survival of patients with T2-4a, N0-x, M0 bladder cancer: a retrospective cohort study.
    Xia Y; Liu X; Ma B; Huang T; Xu D; Zhao C
    Am J Clin Exp Urol; 2023; 11(6):500-515. PubMed ID: 38148935
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.